Author Archives: Adam Jacobson

About Adam Jacobson

Adam Jacobson is a former associate editor of the Risk Management Monitor and Risk Management magazine.
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RIMS TechRisk/RiskTech: Emerging Risk AI Bias

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On the second day of the RIMS virtual event TechRisk/RiskTech, CornerstoneAI founder and president Chantal Sathi and advisor Eric Barberio discussed the potential uses for artificial intelligence-based technologies and how risk managers can avoid the potential inherent biases in AI.

Explaining the current state of AI and machine learning, Sathi noted that this is “emerging technology and is here to stay,” making it even more imperative to understand and account for the associated risks. The algorithms that make up these technologies feed off data sets, Sathi explained, and these data sets can contain inherent bias in how they are collected and used. While it is a misconception that all algorithms have or can produce bias, the fundamental challenge is determining whether the AI and machine learning systems that a risk manager’s company uses do contain bias.

The risks of not rooting out bias in your company’s technology include:

  • Loss of trust: If or when it is revealed that the company’s products and services are based on biased technology or data, customers and others will lose faith in the company.
  • Punitive damage: Countries around the world have implemented or are in the process of implementing regulations governing AI, attempting to ensure human control of such technologies. These regulations (such as GDPR in the European Union) can include punitive damages for violations.
  • Social harm: The widespread use of AI and machine learning includes applications in legal sentencing, medical decisions, job applications and other business functions that have major impact on people’s lives and society at large.

Sathi and Barberio outlined five steps to assess these technologies for fairness and address bias:

  1. Clearly and specifically defining the scope of what the product is supposed to do.
  2. Interpreting and pre-processing the data, which involves gathering and cleaning the data to determine if it adequately represents the full scope of ethnic backgrounds and other demographics.
  3. Most importantly, the company should employ a bias detection framework. This can include a data audit tool to determine whether any output demonstrates unjustified differential bias.
  4. Validating the results the product produces using correlation open source toolkits, such as IBM AI Fairness 360 or MS Fairlearn.
  5. Producing a final assessment report.

Following these steps, risk professionals can help ensure their companies use AI and machine learning without perpetuating its inherent bias.

The session “Emerging Risk AI Bias” and others from RIMS TechRisk/RiskTech will be available on-demand for the next 60 days, and you can access the virtual event here.

RIMS TechRisk/RiskTech: Opportunities and Risks of AI

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On the first day of the RIMS virtual event TechRisk/RiskTech, author and UCLA professor Dr. Ramesh Srinivasan gave a keynote titled “The Opportunities and Downside Risks of Using AI,” touching on the key flashpoints of current technological advancement, and what they mean for risk management. He noted that as data storage has become far cheaper, and computation quicker, this has allowed risk assessment technology to improve. But with these improvements come serious risks.

Srinivasan provided an overview of where artificial intelligence and machine learning stand, and how companies use these technologies. AI is “already here,” he said, and numerous companies are using the technology, including corporate giants Uber and Airbnb, whose business models depend on AI. He also stressed that AI is not the threat portrayed in movies, and that these portrayals have led to a kind of “generalized AI anxiety,” a fear of robotic takeover or the end of humanity—not a realistic scenario.

However, the algorithms that support them and govern many users’ online activities could end up being something akin to the “pre-cogs” from Minority Report that predict future crimes because the algorithms are collecting so much personal information. Companies are using these algorithms to make decisions about users, sometimes based on data sets that are skewed to reflect the biases of the people who collected that data in the first place.

Often, technology companies will sell products with little transparency into the algorithms and data sets that the product is built around. In terms of avoiding products that use AI and machine learning that are built with implicit bias guiding those technologies, Srinivasan suggested A/B testing new products, using them on a trial or short-term basis, and using them on a small subset of users or data to see what effect they have.

When deciding which AI/machine learning technology their companies should use, Srinivasan recommended that risk professionals should specifically consider mapping out what technology their company is using and weigh the benefits against the potential risks, and also examining those risks thoroughly and what short- and long-term threats they pose to the organization.

Specific risks of AI (as companies currently use it) that risk professionals should consider include:

  • Economic risk in the form of the gig economy, which, while making business more efficient, also leaves workers with unsustainable income
  • Increased automation in the form of the internet of things, driverless vehicles, wearable tech, and other ways of replacing workers with machines, risk making labor obsolete.
  • Users do not get benefits from people and companies using and profiting off of their data.
  • New technologies also have immense environmental impact, including the amount of power that cryptocurrencies require and the health risks of electronic waste.
  • Issues like cyberwarfare, intellectual property theft and disinformation are all exacerbated as these technologies advance.
  • The bias inherent in AI/machine learning have real world impacts. For example, court sentencing often relies on biased predictive algorithms, as do policing, health care facilities (AI giving cancer treatment recommendations, for example) and business functions like hiring.

Despite these potential pitfalls, Srinivasan was optimistic, noting that risk professionals “can guide this digital world as much as it guides you,” and that “AI can serve us all.”

RIMS TechRisk/RiskTech continues today, with sessions including:

  • Emerging Risk: AI Bias
  • Connected & Protected
  • Tips for Navigating the Cyber Market
  • Taking on Rising Temps: Tools and Techniques to Manage Extreme Weather Risks for Workers
  • Using Telematics to Give a Total Risk Picture

You can register and access the virtual event here, and sessions will be available on-demand for the next 60 days.

Tornadoes Devastate Midwest and Southern States

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Last week, a series of tornadoes ripped across the Midwest and Southern United States, killing dozens and crippling infrastructure in Arkansas, Illinois, Indiana, Kentucky, Mississippi, Missouri, Ohio and Tennessee. While Karen Clark & Company has estimated that the insured loss from the tornado outbreak will be about $3 billion, and credit rating agency Fitch predicted that losses would total $5 billion, Dr. Joel N. Myers, AccuWeather founder and CEO, estimated that the tornadoes are expected to cost about $18 billion in total damage and economic loss. Mark Friedlander, director of corporate communications at The Insurance Information Institute, said, “Based on preliminary assessments of the extensive property damage we are seeing across multiple states, this weekend’s tornado outbreak has the potential to be the costliest on record in the U.S.”

As of Monday, 88 deaths across the region had been confirmed, but over 100 people are also missing, which means the death count may be higher. The cyclones killed more than 70 people in Kentucky, the hardest-hit state, leaving thousands homeless and knocking out power for more than 25,000 in the western region of the state. Additionally, 10,000 Kentucky homes and businesses reported being without water, and another 17,000 were under boil-water advisories, according to the Kentucky Division of Emergency Management.

Across the entire affected region, 750,000 customers were left without electricity. These outages have complicated search and rescue efforts, as rescue workers excavated destroyed buildings, searching for people who are still missing. In Mayfield, Kentucky, for example, the city’s main fire station and multiple police stations were inoperable, and the city was scrambling to find new ways to field emergency calls.

Also in Mayfield, at least eight people died at a Mayfield Consumer Products scented candle factory after workers reportedly pleaded with supervisors to let them leave the building after warning sirens sounded and an initial twister had passed with little damage, only to be threatened with firing if they did not continue working. Over 100 workers were trapped inside the building after the next tornado leveled it. Several survivors have already filed a lawsuit against the company, citing “flagrant indifference” to worker safety, and that the company “knew or should have known about the expected tornado and the danger of serious bodily injuries and death to its employees if its employees were required to remain at its place of business during the pendency of the expected tornado.”

Another tornado struck an Amazon warehouse in Edwardsville, Illinois, killing six people and injuring another. Amazon claims that it took all necessary precautions, but family members of victims have alleged that the company prioritized productivity over worker safety by not heeding tornado warnings and not adequately preparing employees for emergency weather safety responses. Amazon pledged to help workers and their families affected by the tragedy by donating $1 million to the Edwardsville Community Foundation, a charitable trust that benefits regional communities. OSHA is reportedly investigating the Amazon warehouse, and Kentucky state regulators are investigating the Mayfield Consumer Products event.

While an Amazon spokesperson noted that the company’s warehouse was up to code, Illinois governor J.B. Pritzker also promised an investigation into whether building codes needed to be updated, “given serious change in climate that we are seeing across the country.” Scientists say that climate change may have changed normal weather patterns and led to these tornadoes’ increased intensity and reach, with record warm temperatures across the region potentially exacerbating the disaster.

Businesses and risk professionals should prepare now for more frequent and intense weather events. The following recent Risk Management articles may help:

RIMS ERM Conference 2021: IRS Receives Global Enterprise Risk Management Award of Distinction

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On Friday, RIMS President Ellen Dunkin presented the Internal Revenue Service (IRS) with the 2021 Global Enterprise Risk Management Award of Distinction at the Society’s ERM Conference in New York City. The honor recognized the IRS’s outstanding achievements that allow it to anticipate emerging risks and establish the appropriate culture, processes and structures to strengthen strategic decision-making. 

Navigating the impacts of an extended government shutdown, sweeping tax reforms, operational disruption due to the COVID-19 pandemic and providing essential financial relief to thousands of businesses and individuals across the United States, the IRS ERM program helped the agency to remain resilient and effectively manage a multitude of dynamic challenges.

“Through the ERM program’s focus on embedding risk management capabilities into the existing structures and operations, the agency has become more risk aware,” said Jeffrey Tribiano, the IRS’s deputy commissioner for operations support. “There is also greater collaboration across the enterprise to address significant risks that require efforts from multiple business units. By effectively highlighting the enterprise-wide effects of risks, and by capturing risks on the enterprise risk profile, ERM has helped garner agency-wide attention and support for measures to help address the risks. Since IRS established its ERM program in 2014, it has played a critical role in helping the agency to better understand and respond to risk, thus making the organization more resilient and better able to serve the American people.” 

This year, RIMS honored three other organizations for their exceptional accomplishments developing, implementing and maturing ERM within their organizations. Honorees included:

  • 2021 RIMS Global ERM Award of Distinction Honorable Mention: Dallas Fort Worth International Airport
  • 2021 RIMS ERM Award of Distinction–U.S. Honoree: Eversource Energy
  • 2021 RIMS ERM Award of Distinction–International Honoree: EuroChem

“Enterprise risk management continues to deliver exceptional value to organizations, allowing them to successfully address emerging risks while also identifying and leveraging opportunities that might not have otherwise been apparent,” Dunkin said. “Risk professionals get better—and deliver better results—by learning from each other. We are so grateful to the IRS and all of honorees for sharing their ERM journeys with the RIMS community and doing their part to advance this rewarding profession.” 

Judging criteria for the Global ERM Award of Distinction include measurable, tangible and sustainable results; unique program strengths; ERM innovation that links risk with strategy or performance; and the program’s ability to build sustaining risk management capabilities. The panel comprises members of RIMS Strategic and Enterprise Risk Management Council.

RIMS ERM Conference 2021 was held November 11-12 in New York City and virtually. The program themed “ERM in an ESG World” focused on the growing risks stemming from environmental, social and governance challenges.